Introduction: LIH Department DPH

Here are preliminary results of the bibliometric mapping of the 2022 Luxembourg research evaluation. Its purpose is:

The method for the research-field-mapping can be reviewed here:

Rakas, M., & Hain, D. S. (2019). The state of innovation system research: What happens beneath the surface?. Research Policy, 48(9), 103787.

Seed Articles

The seed articles deemed representative for the active areas of research in the institution, and include authors affiliated with the institution. They can be selected in three ways:

  1. Via bibliographic clustering of the institutions publications and selection of most central articles per cluster (only clsuters where n >= 0.05N). Selection can be found at: https://github.com/daniel-hain/biblio_lux_2022/blob/master/output/seed/scopus_lih_dph_seed.csv
  2. Manual selection of relevant publications.
  3. A combination of 1. and 2.

The present analysis is based on the following seed articles:

AU PY TI JI
FAGHERAZZI G;ZHANG L;AGUAYO… 2021 TOWARDS PRECISION CARDIOMETABOLIC PREVENTION: RESULTS FROM A MACHINE LEARNING, SEMI-SUPERVISED CL… SCI. REP.
BADIMON L;ROBINSON EL;JUSIC… 2021 CARDIOVASCULAR RNA MARKERS AND ARTIFICIAL INTELLIGENCE MAY IMPROVE COVID-19 OUTCOME: A POSITION P… CARDIOVASC. RES.
IGLESIAS-GONZÁLEZ A;SCHAEFF… 2021 COMPREHENSIVE ASSESSMENT OF LOCAL POPULATION CHEMICAL EXPOSOME BY COMBINATION OF ORGANIC POLLUTAN… EXPOS. HEALTH
RUIZ-CASTELL M;COROLLER GL;… 2021 MICRONUTRIENTS AND MARKERS OF OXIDATIVE STRESS AND INFLAMMATION RELATED TO CARDIOMETABOLIC HEALTH… NUTRIENTS
MALISOUX L;DELATTRE N;URHAU… 2020 SHOE CUSHIONING INFLUENCES THE RUNNING INJURY RISK ACCORDING TO BODY MASS: A RANDOMIZED CONTROLLE… AM. J. SPORTS MED.

Topic modelling

Here, we report the results of a LDA topic-modelling (basically, clustering on words) on all title+abstract texts.

Topics by topwords

Note: While this static vies is helpful, I recommend using the interactive LDAVis version to be found under https://daniel-hain.github.io/biblio_lux_2022/output/topic_modelling/LDAviz_lih_dph.rds/index.html#topic=1&lambda=0.60&term=. For functionality and usage, see technical description in the next tab.

Topics over time

Technical Description

LDA Topic Modelling

Topic modeling is a type of statistical modeling for discovering the abstract “topics” that occur in a collection of documents. Latent Dirichlet Allocation (LDA, Blei et al., 2003) is an example of topic model and is used to classify text in a document to a particular topic.

LDA is a generative probabilistic model that assumes each topic is a mixture over an underlying set of words, and each document is a mixture of over a set of topic probabilities. It builds a topic per document model and words per topic model, modeled as Dirichlet distributions.

LDAVis

LDAvis is a web-based interactive visualisation of topics estimated using LDA (Sievert & Shirley, 2014). It provides a global view of the topics (and how they differ from each other), while at the same time allowing for a deep inspection of the terms most highly associated with each individual topic. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization. The visualisation has two basic pieces.

The left panel visualise the topics as circles in the two-dimensional plane whose centres are determined by computing the Jensen–Shannon divergence between topics, and then by using multidimensional scaling to project the inter-topic distances onto two dimensions. Each topic’s overall prevalence is encoded using the areas of the circles.

The right panel depicts a horizontal bar chart whose bars represent the individual terms that are the most useful for interpreting the currently selected topic on the left. A pair of overlaid bars represent both the corpus-wide frequency of a given term as well as the topic-specific frequency of the term.

The \(\lambda\) slider allows to rank the terms according to term relevance. By default, the terms of a topic are ranked in decreasing order according their topic-specific probability ( \(\lambda\) = 1 ). Moving the slider allows to adjust the rank of terms based on much discriminatory (or “relevant”) are for the specific topic. The suggested optimal value of \(\lambda\) is 0.6.

Knowledge Bases: Co-Citation network analysis

Note: This analysis refers the co-citation analysis, where the cited references and not the original publications are the unit of analysis. See tab Technical descriptionfor additional explanations

Knowledge Bases summary

In order to partition networks into components or clusters, we deploy a community detection technique based on the Lovain Algorithm (Blondel et al., 2008). The Lovain Algorithm is a heuristic method that attempts to optimize the modularity of communities within a network by maximizing within- and minimizing between-community connectivity. We identify the following communities = knowledge bases.

name dgr_int dgr
Knowledge Base 1: KB 1: unlabeled (n = 832, density =13.09)
HUANG C. WANG Y. LI X. CLINICAL FEATURES OF PATIENTS INFECTED WITH 2019 NOVEL CORONAVIRUS IN WUHAN CHINA (2020) 4408 4951
ZHOU F. YU T. DU R. CLINICAL COURSE AND RISK FACTORS FOR MORTALITY OF ADULT INPATIENTS WITH COVID-19 IN WUHAN CHINA: A RETROSPECTIVE COHORT STUDY (… 4325 4876
WANG D. HU B. HU C. CLINICAL CHARACTERISTICS OF 138 HOSPITALIZED PATIENTS WITH 2019 NOVEL CORONAVIRUS-INFECTED PNEUMONIA IN WUHAN CHINA (2020) 3543 3946
GUO T. FAN Y. CHEN M. CARDIOVASCULAR IMPLICATIONS OF FATAL OUTCOMES OF PATIENTS WITH CORONAVIRUS DISEASE 2019 (COVID-19) 3494 3947
SHI S. QIN M. SHEN B. ASSOCIATION OF CARDIAC INJURY WITH MORTALITY IN HOSPITALIZED PATIENTS WITH COVID-19 IN WUHAN CHINA (2020) 3177 3538
CHEN N. ZHOU M. DONG X. EPIDEMIOLOGICAL AND CLINICAL CHARACTERISTICS OF 99 CASES OF 2019 NOVEL CORONAVIRUS PNEUMONIA IN WUHAN CHINA: A DESCRIPTIVE … 2822 3146
INCIARDI R.M. LUPI L. ZACCONE G. CARDIAC INVOLVEMENT IN A PATIENT WITH CORONAVIRUS DISEASE 2019 (COVID-19) 2075 2279
WU Z. MCGOOGAN J.M. CHARACTERISTICS OF AND IMPORTANT LESSONS FROM THE CORONAVIRUS DISEASE 2019 (COVID-19) 2044 3842
YANG X. YU Y. XU J. CLINICAL COURSE AND OUTCOMES OF CRITICALLY ILL PATIENTS WITH SARS-COV-2 PNEUMONIA IN WUHAN CHINA: A SINGLE-CENTERED RETROSPECTI… 1690 1875
CHEN T. WU D. CHEN H. CLINICAL CHARACTERISTICS OF 113 DECEASED PATIENTS WITH CORONAVIRUS DISEASE 2019: RETROSPECTIVE STUDY (2020) 1530 1684
Knowledge Base 2: KB 2: unlabeled (n = 753, density =6.29)
MILNER C.E. FERBER R. POLLARD C.D. HAMILL J. DAVIS I.S. BIOMECHANICAL FACTORS ASSOCIATED WITH TIBIAL STRESS FRACTURE IN FEMALE RUNNERS (2006) 1003 1003
VAN GENT R.N. SIEM D. VAN MIDDELKOOP M. VAN OS A.G. BIERMA-ZEINSTRA S.M. KOES B.W. INCIDENCE AND DETERMINANTS OF LOWER EXTREMITY RUNNING INJURIES I… 858 858
ZADPOOR A.A. NIKOOYAN A.A. THE RELATIONSHIP BETWEEN LOWER-EXTREMITY STRESS FRACTURES AND THE GROUND REACTION FORCE: A SYSTEMATIC REVIEW (2011) 814 814
DAVIS I.S. BOWSER B.J. MULLINEAUX D.R. GREATER VERTICAL IMPACT LOADING IN FEMALE RUNNERS WITH MEDICALLY DIAGNOSED INJURIES: A PROSPECTIVE INVESTIGA… 809 809
A SYSTEMATIC REVIEW ON RISK FACTORS AND SEX DIFFERENCES (2015) 771 771
YAMATO T.P. SARAGIOTTO B.T. LOPES A.D. A CONSENSUS DEFINITION OF RUNNING-RELATED INJURY IN RECREATIONAL RUNNERS: A MODIFIED DELPHI APPROACH (2015) 762 762
VAN DER WORP H. VRIELINK J.W. BREDEWEG S.W. DO RUNNERS WHO SUFFER INJURIES HAVE HIGHER VERTICAL GROUND REACTION FORCES THAN THOSE WHO REMAIN INJURY… 753 753
TAUNTON J.E. RYAN M.B. CLEMENT D.B. MCKENZIE D.C. LLOYD-SMITH D.R. ZUMBO B.D. A RETROSPECTIVE CASE-CONTROL ANALYSIS OF 2002 RUNNING INJURIES (2002) 588 588
KLUITENBERG B. VAN MIDDELKOOP M. DIERCKS R. VAN DER WORP H. WHAT ARE THE DIFFERENCES IN INJURY PROPORTIONS BETWEEN DIFFERENT POPULATIONS OF RUNNERS… 539 539
CROWELL H.P. DAVIS I.S. GAIT RETRAINING TO REDUCE LOWER EXTREMITY LOADING IN RUNNERS (2011) 480 480
Knowledge Base 3: KB 3: unlabeled (n = 570, density =11.71)
HUANG C. WANG Y. LI X. REN L. ZHAO J. HU Y. CLINICAL FEATURES OF PATIENTS INFECTED WITH 2019 NOVEL CORONAVIRUS IN WUHAN CHINA (2020) 2308 2669
ZHOU F. YU T. DU R. FAN G. LIU Y. LIU Z. CLINICAL COURSE AND RISK FACTORS FOR MORTALITY OF ADULT INPATIENTS WITH COVID-19 IN WUHAN CHINA: A RETROSP… 1687 1980
CHEN N. ZHOU M. DONG X. QU J. GONG F. HAN Y. EPIDEMIOLOGICAL AND CLINICAL CHARACTERISTICS OF 99 CASES OF 2019 NOVEL CORONAVIRUS PNEUMONIA IN WUHAN … 1595 1808
WANG D. HU B. HU C. ZHU F. LIU X. ZHANG J. CLINICAL CHARACTERISTICS OF 138 HOSPITALIZED PATIENTS WITH 2019 NOVEL CORONAVIRUS-INFECTED PNEUMONIA IN … 1499 1702
GUO T. FAN Y. CHEN M. WU X. ZHANG L. HE T. CARDIOVASCULAR IMPLICATIONS OF FATAL OUTCOMES OF PATIENTS WITH CORONAVIRUS DISEASE 2019 (COVID-19) 1432 1749
SHI S. QIN M. SHEN B. CAI Y. LIU T. YANG F. ASSOCIATION OF CARDIAC INJURY WITH MORTALITY IN HOSPITALIZED PATIENTS WITH COVID-19 IN WUHAN CHINA (2020) 1329 1584
TANG N. LI D. WANG X. SUN Z. ABNORMAL COAGULATION PARAMETERS ARE ASSOCIATED WITH POOR PROGNOSIS IN PATIENTS WITH NOVEL CORONAVIRUS PNEUMONIA (2020) 845 2534
MEHTA P. MCAULEY D.F. BROWN M. SANCHEZ E. TATTERSALL R.S. MANSON J.J. COVID-19: CONSIDER CYTOKINE STORM SYNDROMES AND IMMUNOSUPPRESSION (2020) 845 1594
XU Z. SHI L. WANG Y. ZHANG J. HUANG L. ZHANG C. PATHOLOGICAL FINDINGS OF COVID-19 ASSOCIATED WITH ACUTE RESPIRATORY DISTRESS SYNDROME (2020) 685 774
GUAN W.J. NI Z.Y. HU Y. LIANG W.H. OU C.Q. HE J.X. CLINICAL CHARACTERISTICS OF CORONAVIRUS DISEASE 2019 IN CHINA (2020) 683 751
Knowledge Base 4: KB 4: unlabeled (n = 465, density =13.01)
GUO T. FAN Y. CHEN M. WU X. ZHANG L. HE T. WANG H. LU Z. CARDIOVASCULAR IMPLICATIONS OF FATAL OUTCOMES OF PATIENTS WITH CORONAVIRUS DISEASE 2019 (C… 1614 1953
HUANG C. WANG Y. LI X. REN L. ZHAO J. HU Y. ZHANG L. CAO B. CLINICAL FEATURES OF PATIENTS INFECTED WITH 2019 NOVEL CORONAVIRUS IN WUHAN CHINA (2020) 794 957
RUAN Q. YANG K. WANG W. JIANG L. SONG J. CLINICAL PREDICTORS OF MORTALITY DUE TO COVID-19 BASED ON AN ANALYSIS OF DATA OF 150 PATIENTS FROM WUHAN C… 751 2404
ZHOU F. YU T. DU R. FAN G. LIU Y. LIU Z. XIANG J. CAO B. CLINICAL COURSE AND RISK FACTORS FOR MORTALITY OF ADULT INPATIENTS WITH COVID-19 IN WUHAN … 687 802
SHI S. QIN M. SHEN B. CAI Y. LIU T. YANG F. GONG W. HUANG C. ASSOCIATION OF CARDIAC INJURY WITH MORTALITY IN HOSPITALIZED PATIENTS WITH COVID-19 IN… 672 768
WANG D. HU B. HU C. ZHU F. LIU X. ZHANG J. WANG B. PENG Z. CLINICAL CHARACTERISTICS OF 138 HOSPITALIZED PATIENTS WITH 2019 NOVEL CORONAVIRUS-INFECT… 669 777
FANG L. KARAKIULAKIS G. ROTH M. ARE PATIENTS WITH HYPERTENSION AND DIABETES MELLITUS AT INCREASED RISK FOR COVID-19 INFECTION? (2020) 624 1528
HUANG C. WANG Y. LI X. REN L. ZHAO J. HU Y. ZHANG L. GU X. CLINICAL FEATURES OF PATIENTS INFECTED WITH 2019 NOVEL CORONAVIRUS IN WUHAN CHINA (2020) 578 727
MANCIA G. REA F. LUDERGNANI M. APOLONE G. CORRAO G. RENIN-ANGIOTENSIN-ALDOSTERONE SYSTEM BLOCKERS AND THE RISK OF COVID-19 (2020) 571 1369
ZHOU F. YU T. DU R. FAN G. LIU Y. LIU Z. XIANG J. GU X. CLINICAL COURSE AND RISK FACTORS FOR MORTALITY OF ADULT INPATIENTS WITH COVID-19 IN WUHAN C… 563 687
Knowledge Base 5: KB 5: unlabeled (n = 448, density =11.9)
HUANG C WANG Y LI X REN L ZHAO J HU Y CLINICAL FEATURES OF PATIENTS INFECTED WITH 2019 NOVEL CORONAVIRUS IN WUHAN CHINA (2020) 1055 1081
WANG D HU B HU C ZHU F LIU X ZHANG J CLINICAL CHARACTERISTICS OF 138 HOSPITALIZED PATIENTS WITH 2019 NOVEL CORONAVIRUS-INFECTED PNEUMONIA IN WUHAN … 810 835
WU Z MCGOOGAN JM. CHARACTERISTICS OF AND IMPORTANT LESSONS FROM THE CORONAVIRUS DISEASE 2019 (COVID-19) 761 776
GUO T FAN Y CHEN M WU X ZHANG L HE T CARDIOVASCULAR IMPLICATIONS OF FATAL OUTCOMES OF PATIENTS WITH CORONAVIRUS DISEASE 2019 (COVID-19) 745 756
ZHOU F YU T DU R FAN G LIU Y LIU Z CLINICAL COURSE AND RISK FACTORS FOR MORTALITY OF ADULT INPATIENTS WITH COVID-19 IN WUHAN CHINA: A RETROSPECTIVE… 719 729
SHI S QIN M SHEN B CAI Y LIU T YANG F ASSOCIATION OF CARDIAC INJURY WITH MORTALITY IN HOSPITALIZED PATIENTS WITH COVID-19 IN WUHAN CHINA (2020) 707 717
ZHENG YY MA YT ZHANG JY XIE X. COVID-19 AND THE CARDIOVASCULAR SYSTEM (2020) 546 558
HUANG C WANG Y LI X CLINICAL FEATURES OF PATIENTS INFECTED WITH 2019 NOVEL CORONAVIRUS IN WUHAN CHINA (2020) 523 536
WANG D HU B HU C CLINICAL CHARACTERISTICS OF 138 HOSPITALIZED PATIENTS WITH 2019 NOVEL CORONAVIRUS-INFECTED PNEUMONIA IN WUHAN CHINA (2020) 493 503
TANG N LI D WANG X SUN Z. ABNORMAL COAGULATION PARAMETERS ARE ASSOCIATED WITH POOR PROGNOSIS IN PATIENTS WITH NOVEL CORONAVIRUS PNEUMONIA (2020) 443 458

Development of Knowledge Bases

Technical description

In a co-cittion network, the strength of the relationship between a reference pair \(m\) and \(n\) (\(s_{m,n}^{coc}\)) is expressed by the number of publications \(C\) which are jointly citing reference \(m\) and \(n\).

\[s_{m,n}^{coc} = \sum_i c_{i,m} c_{i,n}\]

The intuition here is that references which are frequently cited together are likely to share commonalities in theory, topic, methodology, or context. It can be interpreted as a measure of similarity as evaluated by other researchers that decide to jointly cite both references. Because the publication process is time-consuming, co-citation is a backward-looking measure, which is appropriate to map the relationship between core literature of a field.

Research Areas: Bibliographic coupling analysis

Research Areas main summary

This is arguably the more interesting part. Here, we identify the literature’s current knowledge frontier by carrying out a bibliographic coupling analysis of the publications in our corpus. This measure uses bibliographical information of publications to establish a similarity relationship between them. Again, method details to be found in the tab Technical description. As you will see, we identify the main research area, but also a set of adjacent research areas with some theoretical/methodological/application overlap.

To identify communities in the field’s knowledge frontier (labeled research areas) we again use the Lovain Algorithm (Blondel et al., 2008). We identify the following communities = research areas.

label AU PY TI dgr_int TC TC_year
Research Area 1: RA 1: unlabeled (n = 469, density =1.72)
RA 1: unlabeled TERPOS E;NTANASIS-STAT… 2020 HEMATOLOGICAL FINDINGS AND COMPLICATIONS OF COVID-19 21.31 871 435.50
RA 1: unlabeled LONG B;BRADY WJ;KOYFMA… 2020 CARDIOVASCULAR COMPLICATIONS IN COVID-19 20.01 412 206.00
RA 1: unlabeled STONE JH;FRIGAULT MJ;S… 2020 EFFICACY OF TOCILIZUMAB IN PATIENTS HOSPITALIZED WITH COVID-19 9.15 721 360.50
RA 1: unlabeled HERMINE O;MARIETTE X;T… 2021 EFFECT OF TOCILIZUMAB VS USUAL CARE IN ADULTS HOSPITALIZED WITH COVID-19 AND MODERATE OR SEVERE PNEUMONIA: A RANDOMIZED CL… 15.62 416 416.00
RA 1: unlabeled MANCIA G;REA F;LUDERGN… 2020 RENIN–ANGIOTENSIN–ALDOSTERONE SYSTEM BLOCKERS AND THE RISK OF COVID-19 8.90 710 355.00
RA 1: unlabeled LALA A;JOHNSON KW;JANU… 2020 PREVALENCE AND IMPACT OF MYOCARDIAL INJURY IN PATIENTS HOSPITALIZED WITH COVID-19 INFECTION 16.52 335 167.50
RA 1: unlabeled GANDHI RT;LYNCH JB;DEL… 2020 MILD OR MODERATE COVID-19 8.26 631 315.50
RA 1: unlabeled HE F;DENG Y;LI W 2020 CORONAVIRUS DISEASE 2019: WHAT WE KNOW? 10.90 392 196.00
RA 1: unlabeled LECHIEN JR;CHIESA-ESTO… 2020 OLFACTORY AND GUSTATORY DYSFUNCTIONS AS A CLINICAL PRESENTATION OF MILD-TO-MODERATE FORMS OF THE CORONAVIRUS DISEASE (COVI… 2.68 1411 705.50
RA 1: unlabeled GIUSTINO G;CROFT LB;ST… 2020 CHARACTERIZATION OF MYOCARDIAL INJURY IN PATIENTS WITH COVID-19 20.26 159 79.50
Research Area 2: RA 2: unlabeled (n = 449, density =0.41)
RA 2: unlabeled CEYSSENS L;VANELDEREN … 2019 BIOMECHANICAL RISK FACTORS ASSOCIATED WITH RUNNING-RELATED INJURIES: A SYSTEMATIC REVIEW 5.62 72 24.00
RA 2: unlabeled CHAN ZYS;ZHANG JH;AU I… 2018 GAIT RETRAINING FOR THE REDUCTION OF INJURY OCCURRENCE IN NOVICE DISTANCE RUNNERS: 1-YEAR FOLLOW-UP OF A RANDOMIZED CONTRO… 4.71 85 21.25
RA 2: unlabeled BERTELSEN ML;HULME A;P… 2017 A FRAMEWORK FOR THE ETIOLOGY OF RUNNING-RELATED INJURIES 3.18 122 24.40
RA 2: unlabeled MESSIER SP;MARTIN DF;M… 2018 A 2-YEAR PROSPECTIVE COHORT STUDY OF OVERUSE RUNNING INJURIES: THE RUNNERS AND INJURY LONGITUDINAL STUDY (TRAILS) 3.03 103 25.75
RA 2: unlabeled DAVIS IS;BOWSER BJ;MUL… 2016 GREATER VERTICAL IMPACT LOADING IN FEMALE RUNNERS WITH MEDICALLY DIAGNOSED INJURIES: A PROSPECTIVE INVESTIGATION 2.02 145 24.17
RA 2: unlabeled RICE HM;JAMISON ST;DAV… 2016 FOOTWEAR MATTERS: INFLUENCE OF FOOTWEAR AND FOOT STRIKE ON LOAD RATES DURING RUNNING 5.06 58 9.67
RA 2: unlabeled NAPIER C;MACLEAN CL;MA… 2018 KINETIC RISK FACTORS OF RUNNING-RELATED INJURIES IN FEMALE RECREATIONAL RUNNERS 5.23 54 13.50
RA 2: unlabeled HULME A;NIELSEN RO;TIM… 2017 RISK AND PROTECTIVE FACTORS FOR MIDDLE- AND LONG-DISTANCE RUNNING-RELATED INJURY 3.24 79 15.80
RA 2: unlabeled DAVIS IS;RICE HM;WEARI… 2017 WHY FOREFOOT STRIKING IN MINIMAL SHOES MIGHT POSITIVELY CHANGE THE COURSE OF RUNNING INJURIES 4.71 47 9.40
RA 2: unlabeled FRANCIS P;WHATMAN C;SH… 2019 THE PROPORTION OF LOWER LIMB RUNNING INJURIES BY GENDER, ANATOMICAL LOCATION AND SPECIFIC PATHOLOGY: A SYSTEMATIC REVIEW 3.51 63 21.00
Research Area 3: RA 3: unlabeled (n = 443, density =0.12)
RA 3: unlabeled WU L-H;ZHANG X-M;WANG … 2018 OCCURRENCE OF BISPHENOL S IN THE ENVIRONMENT AND IMPLICATIONS FOR HUMAN EXPOSURE: A SHORT REVIEW 2.57 197 49.25
RA 3: unlabeled VALENTINO R;D’ESPOSITO… 2016 BISPHENOL A ENVIRONMENTAL EXPOSURE AND THE DETRIMENTAL EFFECTS ON HUMAN METABOLIC HEALTH: IS IT NECESSARY TO REVISE THE RI… 1.80 64 10.67
RA 3: unlabeled WAN Y;HUO W;XU S;ZHENG… 2018 RELATIONSHIP BETWEEN MATERNAL EXPOSURE TO BISPHENOL S AND PREGNANCY DURATION 2.29 50 12.50
RA 3: unlabeled DEFARGE N;SPIROUX DE V… 2018 TOXICITY OF FORMULANTS AND HEAVY METALS IN GLYPHOSATE-BASED HERBICIDES AND OTHER PESTICIDES 0.61 164 41.00
RA 3: unlabeled DOCEA AO;GOFITA E;GOUM… 2018 SIX MONTHS EXPOSURE TO A REAL LIFE MIXTURE OF 13 CHEMICALS’ BELOW INDIVIDUAL NOAELS INDUCED NON MONOTONIC SEX-DEPENDENT BI… 1.00 95 23.75
RA 3: unlabeled TSATSAKIS AM;DOCEA AO;… 2019 HORMETIC NEUROBEHAVIORAL EFFECTS OF LOW DOSE TOXIC CHEMICAL MIXTURES IN REAL-LIFE RISK SIMULATION (RLRS) IN RATS 1.28 70 23.33
RA 3: unlabeled HERNÁNDEZ AF;GIL F;LAC… 2017 TOXICOLOGICAL INTERACTIONS OF PESTICIDE MIXTURES: AN UPDATE 0.65 128 25.60
RA 3: unlabeled DOCEA AO;GOUMENOU M;CA… 2019 ADVERSE AND HORMETIC EFFECTS IN RATS EXPOSED FOR 12 MONTHS TO LOW DOSE MIXTURE OF 13 CHEMICALS: RLRS PART III 1.46 57 19.00
RA 3: unlabeled GU J;ZHANG J;CHEN Y;WA… 2019 NEUROBEHAVIORAL EFFECTS OF BISPHENOL S EXPOSURE IN EARLY LIFE STAGES OF ZEBRAFISH LARVAE (DANIO RERIO) 1.65 49 16.33
RA 3: unlabeled HERNÁNDEZ AF;TSATSAKIS AM 2017 HUMAN EXPOSURE TO CHEMICAL MIXTURES: CHALLENGES FOR THE INTEGRATION OF TOXICOLOGY WITH EPIDEMIOLOGY DATA IN RISK ASSESSMENT 0.77 103 20.60
Research Area 4: RA 4: unlabeled (n = 320, density =0.63)
RA 4: unlabeled INCIARDI RM;ADAMO M;LU… 2020 CHARACTERISTICS AND OUTCOMES OF PATIENTS HOSPITALIZED FOR COVID-19 AND CARDIAC DISEASE IN NORTHERN ITALY 3.60 281 140.50
RA 4: unlabeled ZHANG B;ZHOU X;QIU Y;S… 2020 CLINICAL CHARACTERISTICS OF 82 CASES OF DEATH FROM COVID-19 3.41 238 119.00
RA 4: unlabeled WU H;LARSEN CP;HERNAND… 2020 AKI AND COLLAPSING GLOMERULOPATHY ASSOCIATED WITH COVID-19 AND APOL1 HIGH-RISK GENOTYPE 2.44 120 60.00
RA 4: unlabeled HANFF TC;HARHAY MO;BRO… 2020 IS THERE AN ASSOCIATION BETWEEN COVID-19 MORTALITY AND THE RENIN-ANGIOTENSIN SYSTEM? A CALL FOR EPIDEMIOLOGIC INVESTIGATIONS 1.46 173 86.50
RA 4: unlabeled EVANS PC;ED RAINGER G;… 2020 ENDOTHELIAL DYSFUNCTION IN COVID-19: A POSITION PAPER OF THE ESC WORKING GROUP FOR ATHEROSCLEROSIS AND VASCULAR BIOLOGY, A… 1.47 171 85.50
RA 4: unlabeled MAGLEBY R;WESTBLADE LF… 2021 IMPACT OF SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2 VIRAL LOAD ON RISK OF INTUBATION AND MORTALITY AMONG HOSPITALIZE… 1.55 147 147.00
RA 4: unlabeled LANZA GA;DE VITA A;RAV… 2021 ELECTROCARDIOGRAPHIC FINDINGS AT PRESENTATION AND CLINICAL OUTCOME IN PATIENTS WITH SARS-COV-2 INFECTION 7.55 24 24.00
RA 4: unlabeled DWECK MR;BULARGA A;HAH… 2020 GLOBAL EVALUATION OF ECHOCARDIOGRAPHY IN PATIENTS WITH COVID-19 0.83 183 91.50
RA 4: unlabeled KOTECHA T;KNIGHT DS;RA… 2021 PATTERNS OF MYOCARDIAL INJURY IN RECOVERED TROPONIN-POSITIVE COVID-19 PATIENTS ASSESSED BY CARDIOVASCULAR MAGNETIC RESONANCE 1.39 107 107.00
RA 4: unlabeled ALOISIO E;CHIBIREVA M;… 2020 A COMPREHENSIVE APPRAISAL OF LABORATORY BIOCHEMISTRY TESTS AS MAJOR PREDICTORS OF COVID-19 SEVERITY 4.13 36 18.00
Research Area 5: RA 5: unlabeled (n = 310, density =0.66)
RA 5: unlabeled LAN J;GE J;YU J;SHAN S… 2020 STRUCTURE OF THE SARS-COV-2 SPIKE RECEPTOR-BINDING DOMAIN BOUND TO THE ACE2 RECEPTOR 1.58 2635 1317.50
RA 5: unlabeled SHANG J;YE G;SHI K;WAN… 2020 STRUCTURAL BASIS OF RECEPTOR RECOGNITION BY SARS-COV-2 1.31 1824 912.00
RA 5: unlabeled YUKI K;FUJIOGI M;KOUTS… 2020 COVID-19 PATHOPHYSIOLOGY: A REVIEW 3.08 742 371.00
RA 5: unlabeled LUKASSEN S;CHUA RL;TRE… 2020 SARS-COV-2 RECEPTOR ACE2 AND TMPRSS2 ARE PRIMARILY EXPRESSED IN BRONCHIAL TRANSIENT SECRETORY CELLS 3.39 537 268.50
RA 5: unlabeled GUPTA A;MADHAVAN MV;SE… 2020 EXTRAPULMONARY MANIFESTATIONS OF COVID-19 1.46 1154 577.00
RA 5: unlabeled MUNIYAPPA R;GUBBI S 2020 COVID-19 PANDEMIC, CORONAVIRUSES, AND DIABETES MELLITUS 3.07 395 197.50
RA 5: unlabeled LIU PP;BLET A;SMYTH D;… 2020 THE SCIENCE UNDERLYING COVID-19: IMPLICATIONS FOR THE CARDIOVASCULAR SYSTEM 2.65 439 219.50
RA 5: unlabeled BARNES BJ;ADROVER JM;B… 2020 TARGETING POTENTIAL DRIVERS OF COVID-19: NEUTROPHIL EXTRACELLULAR TRAPS 1.54 749 374.50
RA 5: unlabeled BABAPOOR-FARROKHRAN S;… 2020 MYOCARDIAL INJURY AND COVID-19: POSSIBLE MECHANISMS 5.07 204 102.00
RA 5: unlabeled AKHMEROV A;MARBÁN E 2020 COVID-19 AND THE HEART 2.55 389 194.50
Research Area 6: RA 6: unlabeled (n = 271, density =1.45)
RA 6: unlabeled LIU J;LIU Y;XIANG P;PU… 2020 NEUTROPHIL-TO-LYMPHOCYTE RATIO PREDICTS CRITICAL ILLNESS PATIENTS WITH 2019 CORONAVIRUS DISEASE IN THE EARLY STAGE 5.57 368 184.00
RA 6: unlabeled PHIPPS MM;BARRAZA LH;L… 2020 ACUTE LIVER INJURY IN COVID-19: PREVALENCE AND ASSOCIATION WITH CLINICAL OUTCOMES IN A LARGE U.S. COHORT 11.54 153 76.50
RA 6: unlabeled WANG L;LI X;CHEN H;YAN… 2020 CORONAVIRUS DISEASE 19 INFECTION DOES NOT RESULT IN ACUTE KIDNEY INJURY: AN ANALYSIS OF 116 HOSPITALIZED PATIENTS FROM WUH… 6.36 262 131.00
RA 6: unlabeled CAO Y;WEI J;ZOU L;JIAN… 2020 RUXOLITINIB IN TREATMENT OF SEVERE CORONAVIRUS DISEASE 2019 (COVID-19): A MULTICENTER, SINGLE-BLIND, RANDOMIZED CONTROLLED… 5.90 256 128.00
RA 6: unlabeled TERSALVI G;VICENZI M;C… 2020 ELEVATED TROPONIN IN PATIENTS WITH CORONAVIRUS DISEASE 2019: POSSIBLE MECHANISMS 8.20 177 88.50
RA 6: unlabeled XIONG Q;XU M;LI J;LIU … 2021 CLINICAL SEQUELAE OF COVID-19 SURVIVORS IN WUHAN, CHINA: A SINGLE-CENTRE LONGITUDINAL STUDY 4.98 206 206.00
RA 6: unlabeled TETRO JA 2020 IS COVID-19 RECEIVING ADE FROM OTHER CORONAVIRUSES? 3.72 275 137.50
RA 6: unlabeled LAI C-C;KO W-C;LEE P-I… 2020 EXTRA-RESPIRATORY MANIFESTATIONS OF COVID-19 6.96 141 70.50
RA 6: unlabeled POTERE N;VALERIANI E;C… 2020 ACUTE COMPLICATIONS AND MORTALITY IN HOSPITALIZED PATIENTS WITH CORONAVIRUS DISEASE 2019: A SYSTEMATIC REVIEW AND META-ANA… 8.77 88 44.00
RA 6: unlabeled YANG X;JIN Y;LI R;ZHAN… 2020 PREVALENCE AND IMPACT OF ACUTE RENAL IMPAIRMENT ON COVID-19: A SYSTEMATIC REVIEW AND META-ANALYSIS 8.90 85 42.50
Research Area 7: RA 7: unlabeled (n = 250, density =0.23)
RA 7: unlabeled MORITZ S;BARTZ-BEIELST… 2017 IMPUTETS: TIME SERIES MISSING VALUE IMPUTATION IN R 1.87 310 62.00
RA 7: unlabeled BOBB JF;CLAUS HENN B;V… 2018 STATISTICAL SOFTWARE FOR ANALYZING THE HEALTH EFFECTS OF MULTIPLE CONCURRENT EXPOSURES VIA BAYESIAN KERNEL MACHINE REGRESSION 1.20 190 47.50
RA 7: unlabeled MENTCH L;HOOKER G 2016 QUANTIFYING UNCERTAINTY IN RANDOM FORESTS VIA CONFIDENCE INTERVALS AND HYPOTHESIS TESTS 1.05 101 16.83
RA 7: unlabeled KEIL AP;BUCKLEY JP;O’B… 2020 A QUANTILE-BASED G-COMPUTATION APPROACH TO ADDRESSING THE EFFECTS OF EXPOSURE MIXTURES 0.75 142 71.00
RA 7: unlabeled AGIER L;PORTENGEN L;HY… 2016 A SYSTEMATIC COMPARISON OF LINEAR REGRESSION–BASED STATISTICAL METHODS TO ASSESS EXPOSOME-HEALTH ASSOCIATIONS 1.02 104 17.33
RA 7: unlabeled SIROUX V;AGIER L;SLAMA R 2016 THE EXPOSOME CONCEPT: A CHALLENGE AND A POTENTIAL DRIVER FOR ENVIRONMENTAL HEALTH RESEARCH 1.14 84 14.00
RA 7: unlabeled GAO M;KORTUM P;OSWALD F 2018 PSYCHOMETRIC EVALUATION OF THE USE (USEFULNESS, SATISFACTION, AND EASE OF USE) QUESTIONNAIRE FOR RELIABILITY AND VALIDITY 1.71 54 13.50
RA 7: unlabeled LELIEVELD J;KLINGMÜLLE… 2019 CARDIOVASCULAR DISEASE BURDEN FROM AMBIENT AIR POLLUTION IN EUROPE REASSESSED USING NOVEL HAZARD RATIO FUNCTIONS 0.22 384 128.00
RA 7: unlabeled AGUAYO GA;DONNEAU A-F;… 2017 AGREEMENT BETWEEN 35 PUBLISHED FRAILTY SCORES IN THE GENERAL POPULATION 0.69 114 22.80
RA 7: unlabeled SCORNET E 2016 RANDOM FORESTS AND KERNEL METHODS 0.96 82 13.67
Research Area 8: RA 8: unlabeled (n = 201, density =1.16)
RA 8: unlabeled FRÜHBECK G;CATALÁN V;R… 2019 ADIPONECTIN-LEPTIN RATIO IS A FUNCTIONAL BIOMARKER OF ADIPOSE TISSUE INFLAMMATION 5.35 71 23.67
RA 8: unlabeled HEINDEL JJ;SKALLA LA;J… 2017 REVIEW OF DEVELOPMENTAL ORIGINS OF HEALTH AND DISEASE PUBLICATIONS IN ENVIRONMENTAL EPIDEMIOLOGY 4.42 73 14.60
RA 8: unlabeled TIAN Y;SU L;WANG J;DUA… 2018 FRUIT AND VEGETABLE CONSUMPTION AND RISK OF THE METABOLIC SYNDROME: A META-ANALYSIS 5.07 62 15.50
RA 8: unlabeled CARDET JC;ASH S;KUSA T… 2016 INSULIN RESISTANCE MODIFIES THE ASSOCIATION BETWEEN OBESITY AND CURRENT ASTHMA IN ADULTS 5.38 56 9.33
RA 8: unlabeled LUO Y;MA X;SHEN Y;XU Y… 2017 NECK CIRCUMFERENCE AS AN EFFECTIVE MEASURE FOR IDENTIFYING CARDIO-METABOLIC SYNDROME: A COMPARISON WITH WAIST CIRCUMFERENCE 5.74 50 10.00
RA 8: unlabeled MAZIDI M;KENGNE A-P;KA… 2018 LIPID ACCUMULATION PRODUCT AND TRIGLYCERIDES/GLUCOSE INDEX ARE USEFUL PREDICTORS OF INSULIN RESISTANCE 4.66 60 15.00
RA 8: unlabeled CHUNG HS;HWANG SY;CHOI… 2018 IMPLICATIONS OF CIRCULATING METEORIN-LIKE (METRNL) LEVEL IN HUMAN SUBJECTS WITH TYPE 2 DIABETES 6.23 37 9.25
RA 8: unlabeled BEYDOUN MA;CHEN X;JHA … 2019 CAROTENOIDS, VITAMIN A, AND THEIR ASSOCIATION WITH THE METABOLIC SYNDROME: A SYSTEMATIC REVIEW AND META-ANALYSIS 3.85 55 18.33
RA 8: unlabeled LACLAUSTRA M;MORENO-FR… 2019 IMPAIRED SENSITIVITY TO THYROID HORMONES IS ASSOCIATED WITH DIABETES AND METABOLIC SYNDROME 4.80 35 11.67
RA 8: unlabeled CǍTOI AF;PÂRVU AE;ANDR… 2018 METABOLICALLY HEALTHY VERSUS UNHEALTHY MORBIDLY OBESE: CHRONIC INFLAMMATION, NITRO-OXIDATIVE STRESS, AND INSULIN RESISTANCE 4.44 35 8.75

Development

Connectivity between the research areas

Technical description

In a bibliographic coupling network, the coupling-strength between publications is determined by the number of commonly cited references they share, assuming a common pool of references to indicate similarity in context, methods, or theory. Formally, the strength of the relationship between a publication pair \(i\) and \(j\) (\(s_{i,j}^{bib}\)) is expressed by the number of commonly cited references.

\[s_{i,j}^{bib} = \sum_m c_{i,m} c_{j,m}\]

Since our corpus contains publications which differ strongly in terms of the number of cited references, we normalize the coupling strength by the Jaccard similarity coefficient. Here, we weight the intercept of two publications’ bibliography (shared refeences) by their union (number of all references cited by either \(i\) or \(j\)). It is bounded between zero and one, where one indicates the two publications to have an identical bibliography, and zero that they do not share any cited reference. Thereby, we prevent publications from having high coupling strength due to a large bibliography (e.g., literature surveys).

\[S_{i,j}^{jac-bib} =\frac{C(i \cap j)}{C(i \cup j)} = \frac{s_{i,j}^{bib}}{c_i + c_j - s_{i,j}^{bib}}\]

More recent articles have a higher pool of possible references to co-cite to, hence they are more likely to be coupled. Consequently, bibliographic coupling represents a forward looking measure, and the method of choice to identify the current knowledge frontier at the point of analysis.

Knowledge Bases, Research Areas & Topics Interaction

Endnotes

All results are preliminary so far…